Risk function and optimality of statistical procedures for identification of network structures
Identification of network structures using the finite-size sample has been considered. The concepts of random variables network and network model, which is a complete weighted graph, have been introduced. Two types of network structures have been investigated: network structures with an arbitrary nu...
Saved in:
Main Author: | P.A. Koldanov |
---|---|
Format: | Article |
Language: | English |
Published: |
Kazan Federal University
2018-06-01
|
Series: | Учёные записки Казанского университета: Серия Физико-математические науки |
Subjects: | |
Online Access: | https://kpfu.ru/risk-function-and-optimality-of-statistical-403652.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
EXPLORING THE STRUCTURE AND EVOLUTION OF THE NOVOSIBIRSK BIOMEDICAL CO-AUTHORSHIP NETWORK
by: I. I. Titov, et al.
Published: (2015-01-01) -
Trusted measure model for the communication network system
by: Senxin ZHOU, et al.
Published: (2016-01-01) -
Structify-Net: Random Graph generation with controlled size and customized structure
by: Cazabet, Remy, et al.
Published: (2023-10-01) -
OPTIMAL LOSSES IN POWER DISTRIBUTION NETWORKS
by: M. I. Fursanov
Published: (2014-10-01) -
A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems
by: Shahabodin Afrasiabi, et al.
Published: (2024-01-01)